Family-Based Algorithm for Recovering from Node Failure in WSN

Abstract

Wireless sensor network (WSN) is an emerging technology. A sensor node runs on battery power. If power drains, then there is a possibility of node failure. Node failure in wireless sensor networks is considered as a significant phenomenon. It will affect the performance of the entire network. Recovering the network from node failure is a challenging mission. Existing papers proposed number of techniques for detecting node failure and recovering network from node failure. But the proposed work consists of an innovative family-based solution for node failure in WSN. In a family, there are n numbers of persons. If anyone is in sick, then another person/s of the same family will take over the responsibility until he/she recovered from illness. In the same way, the proposed family tree based algorithm is written in three level of hierarchy. It deals with who is taking care of the task until the low-power node is recovered. This work is simulated using Network Simulator 2 (NS2) and is compared with two existing algorithms, namely LeDiR algorithm and MLeDir algorithm. The simulation results show that the proposed method gives better performance than the existing methods in terms of delivery ratio, end-to-end delay, and dropping ratio.